Text-to-Image
Diffusers
Safetensors
stable-diffusion-xl
stable-diffusion-xl-diffusers
controlnet
diffusers-training
Instructions to use taoshotaro/controlnet_test_base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use taoshotaro/controlnet_test_base with Diffusers:
pip install -U diffusers transformers accelerate
from diffusers import ControlNetModel, StableDiffusionControlNetPipeline controlnet = ControlNetModel.from_pretrained("taoshotaro/controlnet_test_base") pipe = StableDiffusionControlNetPipeline.from_pretrained( "stabilityai/stable-diffusion-xl-base-1.0", controlnet=controlnet ) - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
Download checkpoint-7500/optimizer.bin from taoshotaro/controlnet_test_base: direct link, hf CLI and curl.
- Browser
- Download file 10 GB
-
https://huggingface.co/taoshotaro/controlnet_test_base/resolve/main/checkpoint-7500/optimizer.bin
- Command line
-
hf download hf://taoshotaro/controlnet_test_base/checkpoint-7500/optimizer.bin
-
curl -L -o optimizer.bin https://huggingface.co/taoshotaro/controlnet_test_base/resolve/main/checkpoint-7500/optimizer.bin
10 GB
- Xet hash:
- afb34bd66450e390a562f00d8a7c281107097dffab3c5f505792a7d46a1328b8
- Size of remote file:
- 10 GB
- SHA256:
- 4a07739650038f67d652a37d1b72c7736f40e31a9822f2e9d98fb5f2367d7f13
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